A Power Efficient Authentication Model for E-Healthcare System Security Concerns in Context to Internet of Things (IoT)

2019 ◽  
pp. 225-233
Author(s):  
P. H. Latha
Keyword(s):  
Internet Of Things ◽  
Healthcare System ◽  
System Security ◽  
Power Efficient ◽  
Security Concerns

scholarly journals Internet of Things (IoT) Based Design of a Secure and Lightweight Body Area Network (BAN) Healthcare System

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2919 ◽  
Author(s):  
Yong-Yuan Deng ◽  
Chin-Ling Chen ◽  
Woei-Jiunn Tsaur ◽  
Yung-Wen Tang ◽  
Jung-Hsuan Chen
Keyword(s):  
Internet Of Things ◽  
Healthcare System ◽  
Body Area Network ◽  
Area Network ◽  
Body Area

scholarly journals A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2985 ◽  
Author(s):  
Wencheng Yang ◽  
Song Wang ◽  
Jiankun Hu ◽  
Ahmed Ibrahim ◽  
Guanglou Zheng ◽  
...  
Keyword(s):  
Internet Of Things ◽  
User Authentication ◽  
System Security ◽  
Random Projection ◽  
Biometric Data ◽  
Iot Security ◽  
Biometric Systems ◽  
Authentication System ◽  
Iot Devices ◽  
The Internet Of Things

Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or random projection, which is also known as key-dependent transformation. One issue associated with key-dependent transformations is that if the user-specific key is compromised, some useful information can be leaked and exploited by adversaries to restore the original iris feature data. To mitigate this risk, the proposed scheme enhances system security by integrating an effective information-hiding technique—steganography. By concealing the user-specific key, the threat of key exposure-related attacks, e.g., attacks via record multiplicity, can be defused, thus heightening the overall system security and complementing the protection offered by cancelable biometric techniques.

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